Table REF  compares this work with other state-of-the-art works. Due to the difference of model and technology, the comparison is only possible to a limited extent. Most of the other works used MFCC for feature extraction and VAD for voice activity detection[1]}, [2]}, [3]}, [4]}, [5]}. Since the VAD is for power savings, this could be integrated into this work as well. In this comparison, this work consumes less power than other works with similar model architecture[1]}, [4]}, [5]} even though we process the entire raw data for the predicted results. [2]}, [3]} use RNN as the model architecture, but [2]} does not include feature extraction on the chip.
